Digital Finance CoE - Azure Data Engineer - Executive
KPMG
Bangalore, Karnataka, India6 days ago
44 views9 saves6 applies
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Job Type
full time
Description
Roles & responsibilities
Operational:
•
•Design, develop, and support data solutions using Azure platform to enhance operational efficiency and data integrity.
•Utilize expertise in Python, PySpark, and SQL to analyze complex datasets and generate insightful reports that drive improvements in client operations.
•Implement configurations and develop technical solutions that automate processes and ensure seamless integration of data across various cloud platforms.
•Functional:
•
•Build ETL workflows and automate data pipeline tasks using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and AWS Glue.
•Develop scripts and automation tools for data ingestion and transformation, leveraging PySpark and other libraries to streamline processes.
•Create and manage robust data processing applications, ensuring effective data exchange and integration between systems.
Roles & responsibilities
Operational:
•
•Design, develop, and support data solutions using Azure platform to enhance operational efficiency and data integrity.
•Utilize expertise in Python, PySpark, and SQL to analyze complex datasets and generate insightful reports that drive improvements in client operations.
•Implement configurations and develop technical solutions that automate processes and ensure seamless integration of data across various cloud platforms.
•Functional:
•
•Build ETL workflows and automate data pipeline tasks using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and AWS Glue.
•Develop scripts and automation tools for data ingestion and transformation, leveraging PySpark and other libraries to streamline processes.
•Create and manage robust data processing applications, ensuring effective data exchange and integration between systems.
Roles & responsibilities
Operational:
•
•Design, develop, and support data solutions using Azure platform to enhance operational efficiency and data integrity.
•Utilize expertise in Python, PySpark, and SQL to analyze complex datasets and generate insightful reports that drive improvements in client operations.
•Implement configurations and develop technical solutions that automate processes and ensure seamless integration of data across various cloud platforms.
•Functional:
•
•Build ETL workflows and automate data pipeline tasks using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and AWS Glue.
•Develop scripts and automation tools for data ingestion and transformation, leveraging PySpark and other libraries to streamline processes.
•Create and manage robust data processing applications, ensuring effective data exchange and integration between systems.
This job is found at InterviewStack.io
Skills
azurepythonpysparksqletldata pipelinesanalyticsdatabricksawsautomationdata ingestion
About KPMG
KPMG is a global organization of independent professional services firms providing Audit, Tax and Advisory services.
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